I Built an AI Agent That Costs ₹0 to Run

Reuploaded due to Quality Issue I built an AI agent in Java and Spring Boot that runs 100% on my laptop. No OpenAI, no API key, no cloud bill. The model runs locally with Ollama (qwen3:8b), and the agent investigates real orders by calling its own tools. What you'll learn: What an AI agent actually is: LLM + Tools + Loop Workflow vs Agent, and when to use each Architecture of a local AI agent in Spring Boot How tool calling works: get_order, get_payment, get_shipping_status The guardrail every agent needs: a max-steps limit to stop infinite loops Tech stack: Java · Spring Boot · Ollama · qwen3:8b Chapters: 0:00 Intro 0:03 Roadmap 1:16 Workflow vs Agent 3:25 Architecture 4:55 Live demo: Java + Spring Boot + Ollama 9:08 Wrap-up Run it yourself: 1. Install Ollama and start it: ollama serve 2. Pull a tool-capable model: ollama pull qwen3:8b 3. Run the app in CLI mode: mvn spring-boot:run Next episode: taking this AI agent to production. Scaling, RAG & memory, multi-agent systems, reliability, security and observability. Subscribe so you don't miss it. Which agent should I build next? Tell me in the comments. #AIAgent #Java #SpringBoot #Ollama #LocalLLM #SystemDesign